期刊
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT
卷 68, 期 3, 页码 297-306出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s10064-009-0185-2
关键词
Landslide; Susceptibility; GIS; Artificial neural networks; Koyulhisar
A case study for the use of an artificial neural network (ANN) model for landslide susceptibility mapping in Koyulhisar (Sivas-Turkey) is presented. Digital elevation model (DEM) was first constructed using ArcGIS software. Relevant parameter maps were created, including geology, faults, drainage system, topographical elevation, slope angle, slope aspect, topographic wetness index, stream power index, normalized difference vegetation index and distance from roads. Finally, a landslide susceptibility map was constructed using the neural networks. The drawbacks of the method are discussed but as the validation procedures used confirmed the quality of the map produced, it is recommended the use of ANN may be helpful for planners and engineers in the initial assessment of landslide susceptibility.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据